Build an intelligent Edge AI–powered obstacle avoidance system that enables robots, drones, and IoT devices to detect and avoid obstacles in real time using lightweight AI models. This project demonstrates how Edge AI, TinyML, and computer vision can deliver ultra-fast decision-making directly on embedded devices without cloud dependency.

Designed for practical learning and deployment, the project includes model training, real-time object detection, edge deployment, and navigation logic — making it ideal for students, researchers, and professionals exploring AI robotics and embedded vision systems.